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how to programme to calculate transition probability matrix?

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Ram k
Ram k am 5 Mai 2016
Bearbeitet: Patrick Laux am 10 Nov. 2018
Suppose I have a sequence of states like 1,3,3,1,2,1,4,2,3,1,4,2,4,4,4,3,1,2,5,1. Transition probability matrix calculated by following equation probability=(number of pairs x(t) followed by x(t+1))/(number of pairs x(t) followed by any state). transition probability matrix calculated by manually by me as follows
1 3 2 4 5
1 0 1/5 2/5 2/5 0
3 3/4 1/4 0 0 0
2 1/4 1/4 0 1/4 1/4
4 0 1/5 2/5 2/5 0
5 1 0 0 0 0
how to programme to obtain above transition probability matrix.

Antworten (1)

James Tursa
James Tursa am 5 Mai 2016
Bearbeitet: James Tursa am 5 Mai 2016
E.g., brute force:
m = max(x);
n = numel(x);
y = zeros(m,1);
p = zeros(m,m);
for k=1:n-1
y(x(k)) = y(x(k)) + 1;
p(x(k),x(k+1)) = p(x(k),x(k+1)) + 1;
end
p = bsxfun(@rdivide,p,y); p(isnan(p)) = 0;
The p matrix will be ordered by natural indexing. E.g., 1, 2, 3, 4, 5 for the above example. It will not be ordered as 1, 3, 2, 4, 5 as you have it above. I.e., the probability of going from state i to state j is p(i,j).
  4 Kommentare
Ram k
Ram k am 7 Mai 2016
Bearbeitet: Ram k am 7 Mai 2016
I have a sequence in which states may not be start from 1 and also may not have subsequent numbers i.e. some numbers may be absent so sequence like this 12,14,6,15,15,15,15,6,8,8,18,18,14,14 so I want build transition probability matrix and it should be like below
6 8 12 14 15 18
6 0 1/2 0 0 1/2 0
8 0 1/2 0 0 0 1/2
12 0 0 0 1 0 0
14 1/2 0 0 1/2 0 0
15 1/4 0 0 0 3/4 0
18 0 0 0 0 1/2 1/2
I tried by above programme but matrix forms from number 1 to max number of state i.e. 18, so finally matrix becomes 18*18 order but i want matrix like above because states which are not present corresponding position becomes 0 and matrix becomes very large. In matrix redundancy occurs at places because of 0, so how to built matrix like above posted by me.
Patrick Laux
Patrick Laux am 10 Nov. 2018
Bearbeitet: Patrick Laux am 10 Nov. 2018
The brute force code above is giving 5 if you sum up all probabilities ??
Shouldn't it be: p = bsxfun(@rdivide,p,n) ?
However, this, i.e. sum(sum(p)) also gives only 0.95 (not 1). I am confused now.
Maybe: p = bsxfun(@rdivide,p,n-1) ??

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